Results 51 to 60 of about 3,341 (120)

Real-Time, Content-Based Communication Load Reduction in the Internet of Multimedia Things

open access: yesApplied Sciences, 2020
There is an increasing number of devices available for the Internet of Multimedia Things (IoMT). The demands these ever-more complex devices make are also increasing in terms of energy efficiency, reliability, quality-of-service guarantees, higher data ...
Iffrah Tanseer   +5 more
doaj   +1 more source

Efficient information distribution in the Internet of Medical Things (IoMT) [PDF]

open access: yes, 2022
openTowards the world of Internet of Things, people utilize knowledge from sensor streams in various kinds of smart applications including, but not limited to smart medical information systems.
SIRIPATHUL DEWAGE, HANSIKA DEMINI SENADEERA
core  

Quantum Machine Learning for Security Assessment in the Internet of Medical Things (IoMT)

open access: yesFuture Internet, 2023
Internet of Medical Things (IoMT) is an ecosystem composed of connected electronic items such as small sensors/actuators and other cyber-physical devices (CPDs) in medical services.
Anand Singh Rajawat   +5 more
doaj   +1 more source

AML‐Net: Attention‐based multi‐scale lightweight model for brain tumour segmentation in internet of medical things

open access: yesCAAI Transactions on Intelligence Technology, EarlyView.
Abstract Brain tumour segmentation employing MRI images is important for disease diagnosis, monitoring, and treatment planning. Till now, many encoder‐decoder architectures have been developed for this purpose, with U‐Net being the most extensively utilised. However, these architectures require a lot of parameters to train and have a semantic gap. Some
Muhammad Zeeshan Aslam   +3 more
wiley   +1 more source

A novel healthcare framework for ambient assisted living using the internet of medical things (IOMT) and deep neural network

open access: yesMeasurement: Sensors
The newest developments in the IoMT, wearable devices, and communications systems to offer smart healthcare services have made human life in the age of pervasive computing wiser. The healthcare sector may transform thanks to IoMT.
Renu Yadav   +4 more
doaj   +1 more source

Data privacy model using blockchain reinforcement federated learning approach for scalable internet of medical things

open access: yesCAAI Transactions on Intelligence Technology, EarlyView.
Abstract Internet of Medical Things (IoMT) has typical advancements in the healthcare sector with rapid potential proof for decentralised communication systems that have been applied for collecting and monitoring COVID‐19 patient data. Machine Learning algorithms typically use the risk score of each patient based on risk factors, which could help ...
Chandramohan Dhasaratha   +9 more
wiley   +1 more source

Resilience in the Internet of Medical Things: A Review and Case Study

open access: yesFuture Internet
The Internet of Medical Things (IoMT), an extension of the Internet of Things (IoT), is still in its early stages of development. Challenges that are inherent to IoT, persist in IoMT as well.
Vikas Tomer, Sachin Sharma, Mark Davis
doaj   +1 more source

A secured cloud‐medical data sharing with A‐BRSA and Salp ‐Ant Lion Optimisation Algorithm

open access: yesCAAI Transactions on Intelligence Technology, EarlyView.
Abstract Sharing medical data among healthcare providers, researchers, and patients is crucial for efficient healthcare services. Cloud‐assisted smart healthcare (s‐healthcare) systems have made it easier to store EHRs effectively. However, the traditional encryption algorithms used to secure this data can be vulnerable to attacks if the encryption key
Adel Binbusayyis   +7 more
wiley   +1 more source

On the Physical Layer Security of Federated Learning based IoMT Networks

open access: yes, 2022
Internet of Medical Things (IoMT) connects different medical devices, health sensors and hospital records to data platforms using wireless communications.
Ali, Bakhtiar   +3 more
core   +1 more source

Image and video analysis using graph neural network for Internet of Medical Things and computer vision applications

open access: yesCAAI Transactions on Intelligence Technology, EarlyView.
Abstract Graph neural networks (GNNs) have revolutionised the processing of information by facilitating the transmission of messages between graph nodes. Graph neural networks operate on graph‐structured data, which makes them suitable for a wide variety of computer vision problems, such as link prediction, node classification, and graph classification.
Amit Sharma   +4 more
wiley   +1 more source

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